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Direct linkXiaoman Wang; Rui Huang; Max Sommer; Bo Pei; Poorya Shidfar; Muhammad Shahroze Rehman; Albert D. Ritzhaupt; Florence Martin – Journal of Educational Computing Research, 2024
The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45…
Descriptors: Meta Analysis, Outcomes of Education, Artificial Intelligence, Learning Management Systems
Huang, Wen; Roscoe, Rod D.; Craig, Scotty D.; Johnson-Glenberg, Mina C. – Journal of Educational Computing Research, 2022
Virtual reality (VR) has a high potential to facilitate education. However, the design of many VR learning applications was criticized for lacking the guidance of explicit and appropriate learning theories. To advance the use of VR in effective instruction, this study proposed a model that extended the cognitive-affective theory of learning with…
Descriptors: Affective Behavior, Learning Theories, Computer Simulation, Teaching Methods
Peer reviewedLehrer, Richard; And Others – Journal of Educational Computing Research, 1986
This study examined the instructional effectiveness of three software learning environments--LOGO, drill and practice, and teacher-directed activities--for preschool special needs children. Cognitive distancing was applied to classify children and child-software interactions; dependent measures included indicators of problem solving, skill…
Descriptors: Affective Behavior, Aptitude Treatment Interaction, Cognitive Development, Comparative Analysis
